Enterprise AI Readiness – Data, Workflow, and Deployment Choices
Lesson 3: Choosing the Implementation Shape
Lesson Objectives
By the end of this lesson, students should be able to:
- Match implementation shape to task complexity.
- Explain when retrieval or structured data is needed.
- Identify maintenance responsibilities.
Lesson Content
Not every AI use case should become a custom system. Some need only a reusable prompt and a checklist. Some are better handled by an existing product feature. Some need a retrieval workflow so answers can reference approved documents. Some need structured data, forms, or business rules.
Use this decision ladder:
- Reusable prompt for low-risk drafting or planning.
- Product feature for common tasks already supported by a tool.
- Retrieval workflow when answers must use approved documents.
- Workflow automation when AI output must move through systems.
- Custom implementation when the task is valuable, repeated, unique, measurable, and maintainable.
The more complex the implementation, the more important monitoring becomes.
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